A Novel Image Super Resolution via Multi Surface Fitting Using Wavelet Transforms

In this correspondence I propose an image super-resolution technique based on interpolation of high frequency sub-band images obtained by Discrete Wavelet Transform on input image. In those sub-bands edges are enhanced by introducing an intermediate stage by using Stationary Wavelet Transform. The wavelet transform is applied in order to decompose image into different subbands. In those sub-bands the high frequency sub-bands are interpolated. And then estimated the high frequency sub-bands are modified by using high frequency sub-bands obtained through SWT. These all sub-bands are fused to generate a new high resolution by using inverse transform techniques. The proposed results are gives the conventional and state of art image resolution enhancement techniques.